Otimização Multiobjetivo de Filtros Harmônicos Passivos para Instalações Industriais Usando Técnicas de NSGA-II

Abstract

This paper presents a mathematical method and a computational tool for the selection and sizing of passive harmonic filters in industrial systems using the NSGA-II genetic algorithm. The goal is to maximize the economic benefits of the project, minimize harmonic distortion in the PCC current and bus voltages, and comply with power quality standards (ANEEL and IEEE 519-92). The results demonstrate the method's effectiveness in determining filter parameters, selecting configurations, and addressing multiple operational scenarios.